{
  "id": 10727213,
  "title": "Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCore",
  "url": "https://urgent.news/2026/09/29/building-an-ai-powered-contract-intelligence-platform-with-amazon",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T16:14:24.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/building-an-ai-powered-contract-intelligence-platform-with-amazon-quick-and-amazon-bedrock-agentcore/"
  },
  "original_language": "en",
  "account": "The story outlines the challenges faced by contract directors when dealing with hundreds of vendor contracts, each containing critical data that needs manual extraction and analysis. AI chat tools help with single contracts, but at scale, they struggle to provide accurate aggregated results. Structured extraction using AI agents and a database is proposed as a solution, while the original RAG architecture is deemed insufficient for handling aggregation questions across multiple documents.",
  "summary": "Manually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses AI agents to extract and verify contract fields, then answers aggregate and single-contract questions through Amazon Quick analytics.",
  "key_points": [
    "Contract directors struggle with manual extraction from hundreds of vendor contracts",
    "AI agents and database proposed for structured extraction and aggregation",
    "RAG architecture deemed insufficient for multi-document aggregation"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "AWS Machine Learning",
        "title": "Prompt engineering fundamentals for Amazon Quick",
        "url": "https://urgent.news/2026/09/29/prompt-engineering-fundamentals-for-amazon-quick",
        "published": "2026-09-29T16:27:57.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}